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      "source": [
        ""
      ],
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AjMg4_dbFDsu",
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      "source": [
        "### Unsupervised Machine learning with PyCaret\n",
        "\n",
        "\n",
        "#### PyCaret\n",
        "+ PyCaret is an open source, low-code machine learning library in Python that allows you to go from preparing your data to deploying your model within seconds in your choice of notebook environment.\n",
        "+ It is a wrapper around several popular ML and Data Science libraries\n",
        "\n",
        "+ Official website:https://pycaret.org/\n",
        "\n",
        "#### Installation\n",
        "+ !pip install pycaret\n",
        "\n",
        "\n",
        "#### Workflow\n",
        "+ Prep Data\n",
        "+ Initialize Setup\n",
        "  - Define the data\n",
        "+ Create Model \n",
        "  - Select the one you want\n",
        "+ Assign Model\n",
        "  - Add the clusters to te dataset\n",
        "+ Check accuracy of a selected model\n",
        "  -predict\n",
        "+ Tune model\n",
        "+ Save model  "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7xkDKu0MF3nR",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Load EDA\n",
        "import pandas as pd\n"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Y2zzNf6ZF3Wx",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "outputId": "6d024377-b666-4244-a40e-979398974ae6"
      },
      "source": [
        "# Load Visualization\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "%matplotlib inline"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
            "  import pandas.util.testing as tm\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QQPk0F7TGVX5",
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          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "6b61a594-76d2-4c30-cf21-9e01b095737c"
      },
      "source": [
        "!pip install pycaret"
      ],
      "execution_count": 4,
      "outputs": [
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          "text": [
            "Collecting pycaret\n",
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            "Collecting botocore==1.17.23\n",
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            "\u001b[?25hCollecting confuse>=1.0.0\n",
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            "Collecting combo\n",
            "  Downloading https://files.pythonhosted.org/packages/0a/2a/61b6ac584e75d8df16dc27962aa5fe99d76b09da5b6710e83d4862c84001/combo-0.1.1.tar.gz\n",
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            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/a1/87/9170cabe1b5e10a7d095c0e28f2e30e7c1886a13f063de85d3cfacc06f4b/suod-0.0.4.tar.gz (2.1MB)\n",
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            "Collecting funcy\n",
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            "  Building wheel for cufflinks (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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            "  Created wheel for pyod: filename=pyod-0.8.1-cp36-none-any.whl size=105653 sha256=c88dff67f07362da0e8ef35d4784eb0425830a69c79c622e1ab3fc4488467e24\n",
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            "  Stored in directory: /root/.cache/pip/wheels/98/71/24/513a99e58bb6b8465bae4d2d5e9dba8f0bef8179e3051ac414\n",
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            "  Created wheel for htmlmin: filename=htmlmin-0.1.12-cp36-none-any.whl size=27084 sha256=24b2442b3dcf32b051057e0e28b53bc44bfe8384b10e8909f5024adb825f7bc7\n",
            "  Stored in directory: /root/.cache/pip/wheels/43/07/ac/7c5a9d708d65247ac1f94066cf1db075540b85716c30255459\n",
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            "  Created wheel for combo: filename=combo-0.1.1-cp36-none-any.whl size=42111 sha256=b6154f6e09fb8f6b74150735c7c79c4b998abd310969917aac761834c9508956\n",
            "  Stored in directory: /root/.cache/pip/wheels/55/ec/e5/a2331372c676c467e70c6646e646edf6997d5c4905b8c0f5e6\n",
            "  Building wheel for suod (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for suod: filename=suod-0.0.4-cp36-none-any.whl size=2167157 sha256=d77b0af0d56335e52a8a2c2845e7e3a0574c7a224113aa8e8fff99efc73da6eb\n",
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            "  Stored in directory: /root/.cache/pip/wheels/20/5a/d8/1d875df03deae6f178dfdf70238cca33f948ef8a6f5209f2eb\n",
            "Successfully built cufflinks shap awscli pandas-profiling pyod pyLDAvis htmlmin combo suod funcy\n",
            "Installing collected packages: zope.interface, datetime, scikit-learn, lightgbm, chart-studio, cufflinks, shap, kmodes, catboost, botocore, colorama, rsa, awscli, htmlmin, phik, confuse, pandas-profiling, yellowbrick, datefinder, combo, suod, pyod, funcy, pyLDAvis, pycaret\n",
            "  Found existing installation: scikit-learn 0.22.2.post1\n",
            "    Uninstalling scikit-learn-0.22.2.post1:\n",
            "      Successfully uninstalled scikit-learn-0.22.2.post1\n",
            "  Found existing installation: lightgbm 2.2.3\n",
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            "  Found existing installation: cufflinks 0.17.3\n",
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            "  Found existing installation: botocore 1.17.20\n",
            "    Uninstalling botocore-1.17.20:\n",
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            "  Found existing installation: rsa 4.6\n",
            "    Uninstalling rsa-4.6:\n",
            "      Successfully uninstalled rsa-4.6\n",
            "  Found existing installation: pandas-profiling 1.4.1\n",
            "    Uninstalling pandas-profiling-1.4.1:\n",
            "      Successfully uninstalled pandas-profiling-1.4.1\n",
            "  Found existing installation: yellowbrick 0.9.1\n",
            "    Uninstalling yellowbrick-0.9.1:\n",
            "      Successfully uninstalled yellowbrick-0.9.1\n",
            "Successfully installed awscli-1.18.100 botocore-1.17.23 catboost-0.20.2 chart-studio-1.1.0 colorama-0.4.3 combo-0.1.1 confuse-1.3.0 cufflinks-0.17.0 datefinder-0.7.0 datetime-4.3 funcy-1.14 htmlmin-0.1.12 kmodes-0.10.1 lightgbm-2.3.1 pandas-profiling-2.3.0 phik-0.10.0 pyLDAvis-2.1.2 pycaret-1.0.0 pyod-0.8.1 rsa-4.5 scikit-learn-0.22 shap-0.32.1 suod-0.0.4 yellowbrick-1.0.1 zope.interface-5.1.0\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "rsa"
                ]
              }
            }
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xkeLhXchGJ8B",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pycaret.clustering as pc"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "C6V8Wd5_GJ35",
        "colab_type": "code",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": "Ly8gQ29weXJpZ2h0IDIwMTcgR29vZ2xlIExMQwovLwovLyBMaWNlbnNlZCB1bmRlciB0aGUgQXBhY2hlIExpY2Vuc2UsIFZlcnNpb24gMi4wICh0aGUgIkxpY2Vuc2UiKTsKLy8geW91IG1heSBub3QgdXNlIHRoaXMgZmlsZSBleGNlcHQgaW4gY29tcGxpYW5jZSB3aXRoIHRoZSBMaWNlbnNlLgovLyBZb3UgbWF5IG9idGFpbiBhIGNvcHkgb2YgdGhlIExpY2Vuc2UgYXQKLy8KLy8gICAgICBodHRwOi8vd3d3LmFwYWNoZS5vcmcvbGljZW5zZXMvTElDRU5TRS0yLjAKLy8KLy8gVW5sZXNzIHJlcXVpcmVkIGJ5IGFwcGxpY2FibGUgbGF3IG9yIGFncmVlZCB0byBpbiB3cml0aW5nLCBzb2Z0d2FyZQovLyBkaXN0cmlidXRlZCB1bmRlciB0aGUgTGljZW5zZSBpcyBkaXN0cmlidXRlZCBvbiBhbiAiQVMgSVMiIEJBU0lTLAovLyBXSVRIT1VUIFdBUlJBTlRJRVMgT1IgQ09ORElUSU9OUyBPRiBBTlkgS0lORCwgZWl0aGVyIGV4cHJlc3Mgb3IgaW1wbGllZC4KLy8gU2VlIHRoZSBMaWNlbnNlIGZvciB0aGUgc3BlY2lmaWMgbGFuZ3VhZ2UgZ292ZXJuaW5nIHBlcm1pc3Npb25zIGFuZAovLyBsaW1pdGF0aW9ucyB1bmRlciB0aGUgTGljZW5zZS4KCi8qKgogKiBAZmlsZW92ZXJ2aWV3IEhlbHBlcnMgZm9yIGdvb2dsZS5jb2xhYiBQeXRob24gbW9kdWxlLgogKi8KKGZ1bmN0aW9uKHNjb3BlKSB7CmZ1bmN0aW9uIHNwYW4odGV4dCwgc3R5bGVBdHRyaWJ1dGVzID0ge30pIHsKICBjb25zdCBlbGVtZW50ID0gZG9jdW1lbnQuY3JlYXRlRWxlbWVudCgnc3BhbicpOwogIGVsZW1lbnQudGV4dENvbnRlbnQgPSB0ZXh0OwogIGZvciAoY29uc3Qga2V5IG9mIE9iamVjdC5rZXlzKHN0eWxlQXR0cmlidXRlcykpIHsKICAgIGVsZW1lbnQuc3R5bGVba2V5XSA9IHN0eWxlQXR0cmlidXRlc1trZXldOwogIH0KICByZXR1cm4gZWxlbWVudDsKfQoKLy8gTWF4IG51bWJlciBvZiBieXRlcyB3aGljaCB3aWxsIGJlIHVwbG9hZGVkIGF0IGEgdGltZS4KY29uc3QgTUFYX1BBWUxPQURfU0laRSA9IDEwMCAqIDEwMjQ7CgpmdW5jdGlvbiBfdXBsb2FkRmlsZXMoaW5wdXRJZCwgb3V0cHV0SWQpIHsKICBjb25zdCBzdGVwcyA9IHVwbG9hZEZpbGVzU3RlcChpbnB1dElkLCBvdXRwdXRJZCk7CiAgY29uc3Qgb3V0cHV0RWxlbWVudCA9IGRvY3VtZW50LmdldEVsZW1lbnRCeUlkKG91dHB1dElkKTsKICAvLyBDYWNoZSBzdGVwcyBvbiB0aGUgb3V0cHV0RWxlbWVudCB0byBtYWtlIGl0IGF2YWlsYWJsZSBmb3IgdGhlIG5leHQgY2FsbAogIC8vIHRvIHVwbG9hZEZpbGVzQ29udGludWUgZnJvbSBQeXRob24uCiAgb3V0cHV0RWxlbWVudC5zdGVwcyA9IHN0ZXBzOwoKICByZXR1cm4gX3VwbG9hZEZpbGVzQ29udGludWUob3V0cHV0SWQpOwp9CgovLyBUaGlzIGlzIHJvdWdobHkgYW4gYXN5bmMgZ2VuZXJhdG9yIChub3Qgc3VwcG9ydGVkIGluIHRoZSBicm93c2VyIHlldCksCi8vIHdoZXJlIHRoZXJlIGFyZSBtdWx0aXBsZSBhc3luY2hyb25vdXMgc3RlcHMgYW5kIHRoZSBQeXRob24gc2lkZSBpcyBnb2luZwovLyB0byBwb2xsIGZvciBjb21wbGV0aW9uIG9mIGVhY2ggc3RlcC4KLy8gVGhpcyB1c2VzIGEgUHJvbWlzZSB0byBibG9jayB0aGUgcHl0aG9uIHNpZGUgb24gY29tcGxldGlvbiBvZiBlYWNoIHN0ZXAsCi8vIHRoZW4gcGFzc2VzIHRoZSByZXN1bHQgb2YgdGhlIHByZXZpb3VzIHN0ZXAgYXMgdGhlIGlucHV0IHRvIHRoZSBuZXh0IHN0ZXAuCmZ1bmN0aW9uIF91cGxvYWRGaWxlc0NvbnRpbnVlKG91dHB1dElkKSB7CiAgY29uc3Qgb3V0cHV0RWxlbWVudCA9IGRvY3VtZW50LmdldEVsZW1lbnRCeUlkKG91dHB1dElkKTsKICBjb25zdCBzdGVwcyA9IG91dHB1dEVsZW1lbnQuc3RlcHM7CgogIGNvbnN0IG5leHQgPSBzdGVwcy5uZXh0KG91dHB1dEVsZW1lbnQubGFzdFByb21pc2VWYWx1ZSk7CiAgcmV0dXJuIFByb21pc2UucmVzb2x2ZShuZXh0LnZhbHVlLnByb21pc2UpLnRoZW4oKHZhbHVlKSA9PiB7CiAgICAvLyBDYWNoZSB0aGUgbGFzdCBwcm9taXNlIHZhbHVlIHRvIG1ha2UgaXQgYXZhaWxhYmxlIHRvIHRoZSBuZXh0CiAgICAvLyBzdGVwIG9mIHRoZSBnZW5lcmF0b3IuCiAgICBvdXRwdXRFbGVtZW50Lmxhc3RQcm9taXNlVmFsdWUgPSB2YWx1ZTsKICAgIHJldHVybiBuZXh0LnZhbHVlLnJlc3BvbnNlOwogIH0pOwp9CgovKioKICogR2VuZXJhdG9yIGZ1bmN0aW9uIHdoaWNoIGlzIGNhbGxlZCBiZXR3ZWVuIGVhY2ggYXN5bmMgc3RlcCBvZiB0aGUgdXBsb2FkCiAqIHByb2Nlc3MuCiAqIEBwYXJhbSB7c3RyaW5nfSBpbnB1dElkIEVsZW1lbnQgSUQgb2YgdGhlIGlucHV0IGZpbGUgcGlja2VyIGVsZW1lbnQuCiAqIEBwYXJhbSB7c3RyaW5nfSBvdXRwdXRJZCBFbGVtZW50IElEIG9mIHRoZSBvdXRwdXQgZGlzcGxheS4KICogQHJldHVybiB7IUl0ZXJhYmxlPCFPYmplY3Q+fSBJdGVyYWJsZSBvZiBuZXh0IHN0ZXBzLgogKi8KZnVuY3Rpb24qIHVwbG9hZEZpbGVzU3RlcChpbnB1dElkLCBvdXRwdXRJZCkgewogIGNvbnN0IGlucHV0RWxlbWVudCA9IGRvY3VtZW50LmdldEVsZW1lbnRCeUlkKGlucHV0SWQpOwogIGlucHV0RWxlbWVudC5kaXNhYmxlZCA9IGZhbHNlOwoKICBjb25zdCBvdXRwdXRFbGVtZW50ID0gZG9jdW1lbnQuZ2V0RWxlbWVudEJ5SWQob3V0cHV0SWQpOwogIG91dHB1dEVsZW1lbnQuaW5uZXJIVE1MID0gJyc7CgogIGNvbnN0IHBpY2tlZFByb21pc2UgPSBuZXcgUHJvbWlzZSgocmVzb2x2ZSkgPT4gewogICAgaW5wdXRFbGVtZW50LmFkZEV2ZW50TGlzdGVuZXIoJ2NoYW5nZScsIChlKSA9PiB7CiAgICAgIHJlc29sdmUoZS50YXJnZXQuZmlsZXMpOwogICAgfSk7CiAgfSk7CgogIGNvbnN0IGNhbmNlbCA9IGRvY3VtZW50LmNyZWF0ZUVsZW1lbnQoJ2J1dHRvbicpOwogIGlucHV0RWxlbWVudC5wYXJlbnRFbGVtZW50LmFwcGVuZENoaWxkKGNhbmNlbCk7CiAgY2FuY2VsLnRleHRDb250ZW50ID0gJ0NhbmNlbCB1cGxvYWQnOwogIGNvbnN0IGNhbmNlbFByb21pc2UgPSBuZXcgUHJvbWlzZSgocmVzb2x2ZSkgPT4gewogICAgY2FuY2VsLm9uY2xpY2sgPSAoKSA9PiB7CiAgICAgIHJlc29sdmUobnVsbCk7CiAgICB9OwogIH0pOwoKICAvLyBXYWl0IGZvciB0aGUgdXNlciB0byBwaWNrIHRoZSBmaWxlcy4KICBjb25zdCBmaWxlcyA9IHlpZWxkIHsKICAgIHByb21pc2U6IFByb21pc2UucmFjZShbcGlja2VkUHJvbWlzZSwgY2FuY2VsUHJvbWlzZV0pLAogICAgcmVzcG9uc2U6IHsKICAgICAgYWN0aW9uOiAnc3RhcnRpbmcnLAogICAgfQogIH07CgogIGNhbmNlbC5yZW1vdmUoKTsKCiAgLy8gRGlzYWJsZSB0aGUgaW5wdXQgZWxlbWVudCBzaW5jZSBmdXJ0aGVyIHBpY2tzIGFyZSBub3QgYWxsb3dlZC4KICBpbnB1dEVsZW1lbnQuZGlzYWJsZWQgPSB0cnVlOwoKICBpZiAoIWZpbGVzKSB7CiAgICByZXR1cm4gewogICAgICByZXNwb25zZTogewogICAgICAgIGFjdGlvbjogJ2NvbXBsZXRlJywKICAgICAgfQogICAgfTsKICB9CgogIGZvciAoY29uc3QgZmlsZSBvZiBmaWxlcykgewogICAgY29uc3QgbGkgPSBkb2N1bWVudC5jcmVhdGVFbGVtZW50KCdsaScpOwogICAgbGkuYXBwZW5kKHNwYW4oZmlsZS5uYW1lLCB7Zm9udFdlaWdodDogJ2JvbGQnfSkpOwogICAgbGkuYXBwZW5kKHNwYW4oCiAgICAgICAgYCgke2ZpbGUudHlwZSB8fCAnbi9hJ30pIC0gJHtmaWxlLnNpemV9IGJ5dGVzLCBgICsKICAgICAgICBgbGFzdCBtb2RpZmllZDogJHsKICAgICAgICAgICAgZmlsZS5sYXN0TW9kaWZpZWREYXRlID8gZmlsZS5sYXN0TW9kaWZpZWREYXRlLnRvTG9jYWxlRGF0ZVN0cmluZygpIDoKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgJ24vYSd9IC0gYCkpOwogICAgY29uc3QgcGVyY2VudCA9IHNwYW4oJzAlIGRvbmUnKTsKICAgIGxpLmFwcGVuZENoaWxkKHBlcmNlbnQpOwoKICAgIG91dHB1dEVsZW1lbnQuYXBwZW5kQ2hpbGQobGkpOwoKICAgIGNvbnN0IGZpbGVEYXRhUHJvbWlzZSA9IG5ldyBQcm9taXNlKChyZXNvbHZlKSA9PiB7CiAgICAgIGNvbnN0IHJlYWRlciA9IG5ldyBGaWxlUmVhZGVyKCk7CiAgICAgIHJlYWRlci5vbmxvYWQgPSAoZSkgPT4gewogICAgICAgIHJlc29sdmUoZS50YXJnZXQucmVzdWx0KTsKICAgICAgfTsKICAgICAgcmVhZGVyLnJlYWRBc0FycmF5QnVmZmVyKGZpbGUpOwogICAgfSk7CiAgICAvLyBXYWl0IGZvciB0aGUgZGF0YSB0byBiZSByZWFkeS4KICAgIGxldCBmaWxlRGF0YSA9IHlpZWxkIHsKICAgICAgcHJvbWlzZTogZmlsZURhdGFQcm9taXNlLAogICAgICByZXNwb25zZTogewogICAgICAgIGFjdGlvbjogJ2NvbnRpbnVlJywKICAgICAgfQogICAgfTsKCiAgICAvLyBVc2UgYSBjaHVua2VkIHNlbmRpbmcgdG8gYXZvaWQgbWVzc2FnZSBzaXplIGxpbWl0cy4gU2VlIGIvNjIxMTU2NjAuCiAgICBsZXQgcG9zaXRpb24gPSAwOwogICAgd2hpbGUgKHBvc2l0aW9uIDwgZmlsZURhdGEuYnl0ZUxlbmd0aCkgewogICAgICBjb25zdCBsZW5ndGggPSBNYXRoLm1pbihmaWxlRGF0YS5ieXRlTGVuZ3RoIC0gcG9zaXRpb24sIE1BWF9QQVlMT0FEX1NJWkUpOwogICAgICBjb25zdCBjaHVuayA9IG5ldyBVaW50OEFycmF5KGZpbGVEYXRhLCBwb3NpdGlvbiwgbGVuZ3RoKTsKICAgICAgcG9zaXRpb24gKz0gbGVuZ3RoOwoKICAgICAgY29uc3QgYmFzZTY0ID0gYnRvYShTdHJpbmcuZnJvbUNoYXJDb2RlLmFwcGx5KG51bGwsIGNodW5rKSk7CiAgICAgIHlpZWxkIHsKICAgICAgICByZXNwb25zZTogewogICAgICAgICAgYWN0aW9uOiAnYXBwZW5kJywKICAgICAgICAgIGZpbGU6IGZpbGUubmFtZSwKICAgICAgICAgIGRhdGE6IGJhc2U2NCwKICAgICAgICB9LAogICAgICB9OwogICAgICBwZXJjZW50LnRleHRDb250ZW50ID0KICAgICAgICAgIGAke01hdGgucm91bmQoKHBvc2l0aW9uIC8gZmlsZURhdGEuYnl0ZUxlbmd0aCkgKiAxMDApfSUgZG9uZWA7CiAgICB9CiAgfQoKICAvLyBBbGwgZG9uZS4KICB5aWVsZCB7CiAgICByZXNwb25zZTogewogICAgICBhY3Rpb246ICdjb21wbGV0ZScsCiAgICB9CiAgfTsKfQoKc2NvcGUuZ29vZ2xlID0gc2NvcGUuZ29vZ2xlIHx8IHt9OwpzY29wZS5nb29nbGUuY29sYWIgPSBzY29wZS5nb29nbGUuY29sYWIgfHwge307CnNjb3BlLmdvb2dsZS5jb2xhYi5fZmlsZXMgPSB7CiAgX3VwbG9hZEZpbGVzLAogIF91cGxvYWRGaWxlc0NvbnRpbnVlLAp9Owp9KShzZWxmKTsK",
              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 110
        },
        "outputId": "cc598bac-fde3-4b04-8c70-db3b6b8b4818"
      },
      "source": [
        "from google.colab import files\n",
        "files.upload()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-5e303407-0b52-4d2f-9409-db5cd2724975\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-5e303407-0b52-4d2f-9409-db5cd2724975\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving countries_coordinates_dataset.csv to countries_coordinates_dataset.csv\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'countries_coordinates_dataset.csv': b\"country,latitude,longitude,name\\nAD,42.546245,1.6015540000000001,Andorra\\nAE,23.424076,53.847818000000004,United Arab Emirates\\nAF,33.93911,67.709953,Afghanistan\\nAG,17.060816,-61.796428000000006,Antigua and Barbuda\\nAI,18.220554,-63.068615,Anguilla\\nAL,41.153332,20.168331,Albania\\nAM,40.069099,45.038189,Armenia\\nAN,12.226078999999999,-69.060087,Netherlands Antilles\\nAO,-11.202691999999999,17.873887,Angola\\nAQ,-75.250973,-0.071389,Antarctica\\nAR,-38.416097,-63.616671999999994,Argentina\\nAS,-14.270972,-170.132217,American Samoa\\nAT,47.516231,14.550072,Austria\\nAU,-25.274398,133.775136,Australia\\nAW,12.52111,-69.968338,Aruba\\nAZ,40.143105,47.576927000000005,Azerbaijan\\nBA,43.915886,17.679076000000002,Bosnia and Herzegovina\\nBB,13.193887,-59.543198,Barbados\\nBD,23.684994,90.35633100000001,Bangladesh\\nBE,50.503887,4.469936,Belgium\\nBF,12.238333,-1.561593,Burkina Faso\\nBG,42.733883,25.48583,Bulgaria\\nBH,25.930414000000003,50.637772,Bahrain\\nBI,-3.3730559999999996,29.918885999999997,Burundi\\nBJ,9.30769,2.315834,Benin\\nBM,32.321384,-64.75737,Bermuda\\nBN,4.535277,114.72766899999999,Brunei\\nBO,-16.290154,-63.588653,Bolivia\\nBR,-14.235004,-51.92528,Brazil\\nBS,25.03428,-77.39628,Bahamas\\nBT,27.514162,90.433601,Bhutan\\nBV,-54.423199,3.4131940000000003,Bouvet Island\\nBW,-22.328474,24.684866,Botswana\\nBY,53.709807,27.953389,Belarus\\nBZ,17.189877,-88.49765,Belize\\nCA,56.130366,-106.34677099999999,Canada\\nCC,-12.164164999999999,96.870956,Cocos [Keeling] Islands\\nCD,-4.038333000000001,21.758664000000003,Congo [DRC]\\nCF,6.611111,20.939444,Central African Republic\\nCG,-0.228021,15.827658999999999,Congo [Republic]\\nCH,46.818188,8.227511999999999,Switzerland\\nCI,7.539989,-5.54708,C\\xc3\\xb4te d'Ivoire\\nCK,-21.236735999999997,-159.777671,Cook Islands\\nCL,-35.675146999999996,-71.542969,Chile\\nCM,7.369722,12.354722,Cameroon\\nCN,35.86166,104.195397,China\\nCO,4.570868,-74.297333,Colombia\\nCR,9.748917,-83.753428,Costa Rica\\nCU,21.521757,-77.78116700000001,Cuba\\nCV,16.002082,-24.013197,Cape Verde\\nCX,-10.447525,105.690449,Christmas Island\\nCY,35.126413,33.429859,Cyprus\\nCZ,49.817492,15.472961999999999,Czech Republic\\nDE,51.165690999999995,10.451526,Germany\\nDJ,11.825138,42.590275,Djibouti\\nDK,56.26392,9.501785,Denmark\\nDM,15.414999,-61.370976,Dominica\\nDO,18.735692999999998,-70.162651,Dominican Republic\\nDZ,28.033886,1.6596259999999998,Algeria\\nEC,-1.8312389999999998,-78.183406,Ecuador\\nEE,58.595271999999994,25.013607,Estonia\\nEG,26.820553000000004,30.802497999999996,Egypt\\nEH,24.215526999999998,-12.885834,Western Sahara\\nER,15.179383999999999,39.782334000000006,Eritrea\\nES,40.463667,-3.7492199999999998,Spain\\nET,9.145,40.489672999999996,Ethiopia\\nFI,61.92411,25.748151,Finland\\nFJ,-16.578193,179.414413,Fiji\\nFK,-51.796253,-59.523613,Falkland Islands [Islas Malvinas]\\nFM,7.425553999999999,150.550812,Micronesia\\nFO,61.892635,-6.9118059999999995,Faroe Islands\\nFR,46.227638,2.213749,France\\nGA,-0.803689,11.609444,Gabon\\nGB,55.378051,-3.435973,United Kingdom\\nGD,12.262775999999999,-61.604170999999994,Grenada\\nGE,42.315407,43.356891999999995,Georgia\\nGF,3.9338889999999997,-53.125781999999994,French Guiana\\nGG,49.465691,-2.5852779999999997,Guernsey\\nGH,7.946527000000001,-1.0231940000000002,Ghana\\nGI,36.137741,-5.345374,Gibraltar\\nGL,71.706936,-42.604303,Greenland\\nGM,13.443182,-15.310139000000001,Gambia\\nGN,9.945587,-9.696645,Guinea\\nGP,16.995971,-62.067641,Guadeloupe\\nGQ,1.6508009999999997,10.267895,Equatorial Guinea\\nGR,39.074208,21.824312,Greece\\nGS,-54.429579000000004,-36.587909,South Georgia and the South Sandwich Islands\\nGT,15.783470999999999,-90.23075899999999,Guatemala\\nGU,13.444304,144.793731,Guam\\nGW,11.803749,-15.180413,Guinea-Bissau\\nGY,4.860416000000001,-58.93018000000001,Guyana\\nGZ,31.354676,34.308825,Gaza Strip\\nHK,22.396428,114.10949699999999,Hong Kong\\nHM,-53.08181,73.50415799999999,Heard Island and McDonald Islands\\nHN,15.199998999999998,-86.241905,Honduras\\nHR,45.1,15.2,Croatia\\nHT,18.971187,-72.28521500000001,Haiti\\nHU,47.162494,19.503304,Hungary\\nID,-0.789275,113.921327,Indonesia\\nIE,53.41291,-8.243889999999999,Ireland\\nIL,31.046051000000002,34.851612,Israel\\nIM,54.236107,-4.548056,Isle of Man\\nIN,20.593684,78.96288,India\\nIO,-6.343194,71.87651899999999,British Indian Ocean Territory\\nIQ,33.223191,43.679291,Iraq\\nIR,32.427908,53.68804599999999,Iran\\nIS,64.96305100000001,-19.020835,Iceland\\nIT,41.87194,12.56738,Italy\\nJE,49.214439,-2.13125,Jersey\\nJM,18.109581,-77.297508,Jamaica\\nJO,30.585164000000002,36.238414,Jordan\\nJP,36.204824,138.252924,Japan\\nKE,-0.023559,37.906193,Kenya\\nKG,41.20438,74.766098,Kyrgyzstan\\nKH,12.565679,104.990963,Cambodia\\nKI,-3.3704169999999998,-168.734039,Kiribati\\nKM,-11.875001,43.872219,Comoros\\nKN,17.357822,-62.782998,Saint Kitts and Nevis\\nKP,40.339852,127.510093,North Korea\\nKR,35.907757000000004,127.766922,South Korea\\nKW,29.311659999999996,47.481766,Kuwait\\nKY,19.513469,-80.566956,Cayman Islands\\nKZ,48.019573,66.923684,Kazakhstan\\nLA,19.856270000000002,102.495496,Laos\\nLB,33.854721000000005,35.862285,Lebanon\\nLC,13.909444,-60.97889300000001,Saint Lucia\\nLI,47.166000000000004,9.555373,Liechtenstein\\nLK,7.873054,80.77179699999999,Sri Lanka\\nLR,6.4280550000000005,-9.429499,Liberia\\nLS,-29.609988,28.233608,Lesotho\\nLT,55.169438,23.881275,Lithuania\\nLU,49.815273,6.129583,Luxembourg\\nLV,56.879635,24.603189,Latvia\\nLY,26.3351,17.228331,Libya\\nMA,31.791702,-7.09262,Morocco\\nMC,43.750298,7.412841,Monaco\\nMD,47.411631,28.369884999999996,Moldova\\nME,42.708678000000006,19.37439,Montenegro\\nMG,-18.766947000000002,46.869107,Madagascar\\nMH,7.131474000000001,171.184478,Marshall Islands\\nMK,41.608635,21.745275,Macedonia [FYROM]\\nML,17.570692,-3.9961660000000006,Mali\\nMM,21.913965,95.956223,Myanmar [Burma]\\nMN,46.862496,103.84665600000001,Mongolia\\nMO,22.198745000000002,113.543873,Macau\\nMP,17.33083,145.38468999999998,Northern Mariana Islands\\nMQ,14.641528,-61.024174,Martinique\\nMR,21.00789,-10.940835,Mauritania\\nMS,16.742498,-62.187366000000004,Montserrat\\nMT,35.937496,14.375416,Malta\\nMU,-20.348404000000002,57.552152,Mauritius\\nMV,3.202778,73.22068,Maldives\\nMW,-13.254307999999998,34.301525,Malawi\\nMX,23.634501,-102.552784,Mexico\\nMY,4.210483999999999,101.97576600000001,Malaysia\\nMZ,-18.665695,35.529562,Mozambique\\n,-22.957639999999998,18.49041,Namibia\\nNC,-20.904304999999997,165.618042,New Caledonia\\nNE,17.607789,8.081666,Niger\\nNF,-29.040834999999998,167.954712,Norfolk Island\\nNG,9.081999,8.675277000000001,Nigeria\\nNI,12.865416,-85.207229,Nicaragua\\nNL,52.132633,5.291266,Netherlands\\nNO,60.472024,8.468946,Norway\\nNP,28.394857000000002,84.12400799999999,Nepal\\nNR,-0.522778,166.931503,Nauru\\nNU,-19.054445,-169.867233,Niue\\nNZ,-40.900557,174.88597099999998,New Zealand\\nOM,21.512583,55.923255000000005,Oman\\nPA,8.537981,-80.782127,Panama\\nPE,-9.189967,-75.015152,Peru\\nPF,-17.679742,-149.40684299999998,French Polynesia\\nPG,-6.314993,143.95555,Papua New Guinea\\nPH,12.879721,121.77401699999999,Philippines\\nPK,30.375321000000003,69.345116,Pakistan\\nPL,51.919438,19.145135999999997,Poland\\nPM,46.941936,-56.27111,Saint Pierre and Miquelon\\nPN,-24.703615,-127.43930800000001,Pitcairn Islands\\nPR,18.220833,-66.590149,Puerto Rico\\nPS,31.952162,35.233154,Palestinian Territories\\nPT,39.399871999999995,-8.224454,Portugal\\nPW,7.51498,134.58252,Palau\\nPY,-23.442503,-58.44383199999999,Paraguay\\nQA,25.354826,51.183884,Qatar\\nRE,-21.115141,55.536384,R\\xc3\\xa9union\\nRO,45.943160999999996,24.96676,Romania\\nRS,44.016521000000004,21.005859,Serbia\\nRU,61.52401,105.31875600000001,Russia\\nRW,-1.940278,29.873888,Rwanda\\nSA,23.885942,45.079162,Saudi Arabia\\nSB,-9.645710000000001,160.156194,Solomon Islands\\nSC,-4.679574,55.491977,Seychelles\\nSD,12.862807,30.217636,Sudan\\nSE,60.128161,18.643501,Sweden\\nSG,1.352083,103.819836,Singapore\\nSH,-24.143473999999998,-10.030696,Saint Helena\\nSI,46.151241,14.995463,Slovenia\\nSJ,77.553604,23.670272,Svalbard and Jan Mayen\\nSK,48.669026,19.699023999999998,Slovakia\\nSL,8.460555000000001,-11.779889,Sierra Leone\\nSM,43.94236,12.457777,San Marino\\nSN,14.497401000000002,-14.452361999999999,Senegal\\nSO,5.152149,46.199616,Somalia\\nSR,3.9193050000000005,-56.02778299999999,Suriname\\nST,0.18636,6.613081,S\\xc3\\xa3o Tom\\xc3\\xa9 and Pr\\xc3\\xadncipe\\nSV,13.794185,-88.89653,El Salvador\\nSY,34.802075,38.996815000000005,Syria\\nSZ,-26.522503000000004,31.465866,Swaziland\\nTC,21.694025,-71.797928,Turks and Caicos Islands\\nTD,15.454166,18.732207,Chad\\nTF,-49.280366,69.348557,French Southern Territories\\nTG,8.619543,0.824782,Togo\\nTH,15.870032,100.992541,Thailand\\nTJ,38.861034000000004,71.276093,Tajikistan\\nTK,-8.967363,-171.855881,Tokelau\\nTL,-8.874217,125.727539,Timor-Leste\\nTM,38.969719,59.556278000000006,Turkmenistan\\nTN,33.886917,9.537499,Tunisia\\nTO,-21.178986,-175.198242,Tonga\\nTR,38.963745,35.243322,Turkey\\nTT,10.691803,-61.222503,Trinidad and Tobago\\nTV,-7.109535,177.64933,Tuvalu\\nTW,23.69781,120.96051499999999,Taiwan\\nTZ,-6.369028,34.888822,Tanzania\\nUA,48.379433,31.16558,Ukraine\\nUG,1.373333,32.290275,Uganda\\nUM,,,U.S. Minor Outlying Islands\\nUS,37.09024,-95.712891,United States\\nUY,-32.522779,-55.765834999999996,Uruguay\\nUZ,41.377491,64.585262,Uzbekistan\\nVA,41.902916,12.453389,Vatican City\\nVC,12.984305,-61.287228000000006,Saint Vincent and the Grenadines\\nVE,6.42375,-66.58973,Venezuela\\nVG,18.420695000000002,-64.63996800000001,British Virgin Islands\\nVI,18.335765,-64.896335,U.S. Virgin Islands\\nVN,14.058323999999999,108.277199,Vietnam\\nVU,-15.376706,166.959158,Vanuatu\\nWF,-13.768752,-177.156097,Wallis and Futuna\\nWS,-13.759029,-172.10462900000002,Samoa\\nXK,42.602636,20.902977,Kosovo\\nYE,15.552726999999999,48.516388,Yemen\\nYT,-12.8275,45.166244,Mayotte\\nZA,-30.559482,22.937506,South Africa\\nZM,-13.133897,27.849332,Zambia\\nZW,-19.015438,29.154857,Zimbabwe\\n\"}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5qs6pYSsGJvV",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Read Dataset\n",
        "df = pd.read_csv(\"countries_coordinates_dataset.csv\")"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zzQUf3iWHEO4",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "outputId": "51a9075b-d45a-43fa-e02a-3ab76e416ac5"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>country</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>AD</td>\n",
              "      <td>42.546245</td>\n",
              "      <td>1.601554</td>\n",
              "      <td>Andorra</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>AE</td>\n",
              "      <td>23.424076</td>\n",
              "      <td>53.847818</td>\n",
              "      <td>United Arab Emirates</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>AF</td>\n",
              "      <td>33.939110</td>\n",
              "      <td>67.709953</td>\n",
              "      <td>Afghanistan</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>AG</td>\n",
              "      <td>17.060816</td>\n",
              "      <td>-61.796428</td>\n",
              "      <td>Antigua and Barbuda</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>AI</td>\n",
              "      <td>18.220554</td>\n",
              "      <td>-63.068615</td>\n",
              "      <td>Anguilla</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  country   latitude  longitude                  name\n",
              "0      AD  42.546245   1.601554               Andorra\n",
              "1      AE  23.424076  53.847818  United Arab Emirates\n",
              "2      AF  33.939110  67.709953           Afghanistan\n",
              "3      AG  17.060816 -61.796428   Antigua and Barbuda\n",
              "4      AI  18.220554 -63.068615              Anguilla"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "a2aDkN-gHFmV",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "d22adcc85ccd4f759348cab69dc57c44",
            "5d5dc0ebc32b48f18e60ea618199716e",
            "14a8cb59381f4863a92f2dd9c1597624",
            "aecfcfdde5014fb38eff8a2bcc9231f1",
            "112b74bf416d4d618b9643be15083c99",
            "5469c07f629f4ef38adf9a0055a738fa"
          ]
        },
        "outputId": "e5320cc7-ab42-446d-fbac-52e464105b78"
      },
      "source": [
        "# Prep Data\n",
        "pc.setup(df,ignore_features=['country','name'])"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Setup Succesfully Completed!\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "    #T_bb95622e_c8fa_11ea_a449_0242ac1c0002row2_col1 {\n",
              "            background-color:  lightgreen;\n",
              "        }</style><table id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Description</th>        <th class=\"col_heading level0 col1\" >Value</th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row0_col0\" class=\"data row0 col0\" >session_id </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row0_col1\" class=\"data row0 col1\" >4410</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Original Data </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row1_col1\" class=\"data row1 col1\" >(245, 4)</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row2_col0\" class=\"data row2 col0\" >Missing Values </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row2_col1\" class=\"data row2 col1\" >True</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row3_col0\" class=\"data row3 col0\" >Numeric Features </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row3_col1\" class=\"data row3 col1\" >2</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row4_col0\" class=\"data row4 col0\" >Categorical Features </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row4_col1\" class=\"data row4 col1\" >2</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row5_col0\" class=\"data row5 col0\" >Ordinal Features </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row5_col1\" class=\"data row5 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row6_col0\" class=\"data row6 col0\" >High Cardinality Features </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row6_col1\" class=\"data row6 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row7_col0\" class=\"data row7 col0\" >Transformed Data </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row7_col1\" class=\"data row7 col1\" >(245, 2)</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row8_col0\" class=\"data row8 col0\" >Numeric Imputer </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row8_col1\" class=\"data row8 col1\" >mean</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row9_col0\" class=\"data row9 col0\" >Categorical Imputer </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row9_col1\" class=\"data row9 col1\" >constant</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row10_col0\" class=\"data row10 col0\" >Normalize </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row10_col1\" class=\"data row10 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row11_col0\" class=\"data row11 col0\" >Normalize Method </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row11_col1\" class=\"data row11 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row12_col0\" class=\"data row12 col0\" >Transformation </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row12_col1\" class=\"data row12 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row13_col0\" class=\"data row13 col0\" >Transformation Method </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row13_col1\" class=\"data row13 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row14_col0\" class=\"data row14 col0\" >PCA </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row14_col1\" class=\"data row14 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row15_col0\" class=\"data row15 col0\" >PCA Method </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row15_col1\" class=\"data row15 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row16_col0\" class=\"data row16 col0\" >PCA components </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row16_col1\" class=\"data row16 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row17_col0\" class=\"data row17 col0\" >Ignore Low Variance </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row17_col1\" class=\"data row17 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row18\" class=\"row_heading level0 row18\" >18</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row18_col0\" class=\"data row18 col0\" >Combine Rare Levels </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row18_col1\" class=\"data row18 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row19\" class=\"row_heading level0 row19\" >19</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row19_col0\" class=\"data row19 col0\" >Rare Level Threshold </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row19_col1\" class=\"data row19 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row20\" class=\"row_heading level0 row20\" >20</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row20_col0\" class=\"data row20 col0\" >Numeric Binning </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row20_col1\" class=\"data row20 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row21\" class=\"row_heading level0 row21\" >21</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row21_col0\" class=\"data row21 col0\" >Remove Multicollinearity </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row21_col1\" class=\"data row21 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row22\" class=\"row_heading level0 row22\" >22</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row22_col0\" class=\"data row22 col0\" >Multicollinearity Threshold </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row22_col1\" class=\"data row22 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002level0_row23\" class=\"row_heading level0 row23\" >23</th>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row23_col0\" class=\"data row23 col0\" >Group Features </td>\n",
              "                        <td id=\"T_bb95622e_c8fa_11ea_a449_0242ac1c0002row23_col1\" class=\"data row23 col1\" >False</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f4ce6897710>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(      latitude  longitude\n",
              " 0    42.546245   1.601554\n",
              " 1    23.424076  53.847818\n",
              " 2    33.939110  67.709953\n",
              " 3    17.060816 -61.796428\n",
              " 4    18.220554 -63.068615\n",
              " ..         ...        ...\n",
              " 240  15.552727  48.516388\n",
              " 241 -12.827500  45.166244\n",
              " 242 -30.559482  22.937506\n",
              " 243 -13.133897  27.849332\n",
              " 244 -19.015438  29.154857\n",
              " \n",
              " [245 rows x 2 columns],\n",
              "     country   latitude  longitude                  name\n",
              " 0        AD  42.546245   1.601554               Andorra\n",
              " 1        AE  23.424076  53.847818  United Arab Emirates\n",
              " 2        AF  33.939110  67.709953           Afghanistan\n",
              " 3        AG  17.060816 -61.796428   Antigua and Barbuda\n",
              " 4        AI  18.220554 -63.068615              Anguilla\n",
              " ..      ...        ...        ...                   ...\n",
              " 240      YE  15.552727  48.516388                 Yemen\n",
              " 241      YT -12.827500  45.166244               Mayotte\n",
              " 242      ZA -30.559482  22.937506          South Africa\n",
              " 243      ZM -13.133897  27.849332                Zambia\n",
              " 244      ZW -19.015438  29.154857              Zimbabwe\n",
              " \n",
              " [245 rows x 4 columns],\n",
              " 4410,\n",
              " Pipeline(memory=None,\n",
              "          steps=[('dtypes',\n",
              "                  DataTypes_Auto_infer(categorical_features=[],\n",
              "                                       display_types=True,\n",
              "                                       features_todrop=['country', 'name'],\n",
              "                                       ml_usecase='regression',\n",
              "                                       numerical_features=[],\n",
              "                                       target='dummy_target',\n",
              "                                       time_features=[])),\n",
              "                 ('imputer',\n",
              "                  Simple_Imputer(categorical_strategy='not_available',\n",
              "                                 numeric_strategy='mean',\n",
              "                                 target_variable=None)),\n",
              "                 ('new_levels1',\n",
              "                  N...\n",
              "                                                     target='dummy_target')),\n",
              "                 ('feature_time',\n",
              "                  Make_Time_Features(list_of_features=None, time_feature=[])),\n",
              "                 ('group', Empty()), ('scaling', Empty()),\n",
              "                 ('P_transform', Empty()), ('binn', Empty()),\n",
              "                 ('fix_perfect', Empty()), ('rem_outliers', Empty()),\n",
              "                 ('dummy', Dummify(target='dummy_target')),\n",
              "                 ('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),\n",
              "                 ('pca', Empty())],\n",
              "          verbose=False),\n",
              " <module 'pycaret.preprocess' from '/usr/local/lib/python3.6/dist-packages/pycaret/preprocess.py'>,\n",
              " [('Clustering Setup Config',                      Description     Value\n",
              "   0                    session_id       4410\n",
              "   1                 Original Data   (245, 4)\n",
              "   2                Missing Values       True\n",
              "   3              Numeric Features          2\n",
              "   4          Categorical Features          2\n",
              "   5              Ordinal Features      False\n",
              "   6     High Cardinality Features      False\n",
              "   7              Transformed Data   (245, 2)\n",
              "   8               Numeric Imputer       mean\n",
              "   9           Categorical Imputer   constant\n",
              "   10                    Normalize      False\n",
              "   11             Normalize Method       None\n",
              "   12               Transformation      False\n",
              "   13        Transformation Method       None\n",
              "   14                          PCA      False\n",
              "   15                   PCA Method       None\n",
              "   16               PCA components       None\n",
              "   17          Ignore Low Variance      False\n",
              "   18          Combine Rare Levels      False\n",
              "   19         Rare Level Threshold       None\n",
              "   20              Numeric Binning      False\n",
              "   21     Remove Multicollinearity      False\n",
              "   22  Multicollinearity Threshold       None\n",
              "   23               Group Features      False),\n",
              "  ('Orignal Dataset',     country   latitude  longitude                  name\n",
              "   0        AD  42.546245   1.601554               Andorra\n",
              "   1        AE  23.424076  53.847818  United Arab Emirates\n",
              "   2        AF  33.939110  67.709953           Afghanistan\n",
              "   3        AG  17.060816 -61.796428   Antigua and Barbuda\n",
              "   4        AI  18.220554 -63.068615              Anguilla\n",
              "   ..      ...        ...        ...                   ...\n",
              "   240      YE  15.552727  48.516388                 Yemen\n",
              "   241      YT -12.827500  45.166244               Mayotte\n",
              "   242      ZA -30.559482  22.937506          South Africa\n",
              "   243      ZM -13.133897  27.849332                Zambia\n",
              "   244      ZW -19.015438  29.154857              Zimbabwe\n",
              "   \n",
              "   [245 rows x 4 columns]),\n",
              "  ('Transformed Dataset',       latitude  longitude\n",
              "   0    42.546245   1.601554\n",
              "   1    23.424076  53.847818\n",
              "   2    33.939110  67.709953\n",
              "   3    17.060816 -61.796428\n",
              "   4    18.220554 -63.068615\n",
              "   ..         ...        ...\n",
              "   240  15.552727  48.516388\n",
              "   241 -12.827500  45.166244\n",
              "   242 -30.559482  22.937506\n",
              "   243 -13.133897  27.849332\n",
              "   244 -19.015438  29.154857\n",
              "   \n",
              "   [245 rows x 2 columns]),\n",
              "  ('Transformation Pipeline', Pipeline(memory=None,\n",
              "            steps=[('dtypes',\n",
              "                    DataTypes_Auto_infer(categorical_features=[],\n",
              "                                         display_types=True,\n",
              "                                         features_todrop=['country', 'name'],\n",
              "                                         ml_usecase='regression',\n",
              "                                         numerical_features=[],\n",
              "                                         target='dummy_target',\n",
              "                                         time_features=[])),\n",
              "                   ('imputer',\n",
              "                    Simple_Imputer(categorical_strategy='not_available',\n",
              "                                   numeric_strategy='mean',\n",
              "                                   target_variable=None)),\n",
              "                   ('new_levels1',\n",
              "                    N...\n",
              "                                                       target='dummy_target')),\n",
              "                   ('feature_time',\n",
              "                    Make_Time_Features(list_of_features=None, time_feature=[])),\n",
              "                   ('group', Empty()), ('scaling', Empty()),\n",
              "                   ('P_transform', Empty()), ('binn', Empty()),\n",
              "                   ('fix_perfect', Empty()), ('rem_outliers', Empty()),\n",
              "                   ('dummy', Dummify(target='dummy_target')),\n",
              "                   ('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),\n",
              "                   ('pca', Empty())],\n",
              "            verbose=False))])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r9wUQEYkHY3p",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Create Model\n",
        "km = pc.create_model('kmeans',num_clusters=7)"
      ],
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XykANgJ4HnaS",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 67
        },
        "outputId": "460b907b-1469-48e5-9c3b-eaa8daed1c37"
      },
      "source": [
        "km"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,\n",
              "       n_clusters=7, n_init=10, n_jobs=None, precompute_distances='auto',\n",
              "       random_state=4410, tol=0.0001, verbose=0)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6EzJzCTKHolf",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Assign Model\n",
        "# Assign Clusters to Datapoint\n",
        "km_df = pc.assign_model(km)"
      ],
      "execution_count": 41,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AJpF2TNwH1Aj",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        },
        "outputId": "7c19afb7-b95d-42fd-b7a9-82d19e6399be"
      },
      "source": [
        "km_df"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>country</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>name</th>\n",
              "      <th>Cluster</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>AD</td>\n",
              "      <td>42.546245</td>\n",
              "      <td>1.601554</td>\n",
              "      <td>Andorra</td>\n",
              "      <td>Cluster 4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>AE</td>\n",
              "      <td>23.424076</td>\n",
              "      <td>53.847818</td>\n",
              "      <td>United Arab Emirates</td>\n",
              "      <td>Cluster 6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>AF</td>\n",
              "      <td>33.939110</td>\n",
              "      <td>67.709953</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>Cluster 6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>AG</td>\n",
              "      <td>17.060816</td>\n",
              "      <td>-61.796428</td>\n",
              "      <td>Antigua and Barbuda</td>\n",
              "      <td>Cluster 3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>AI</td>\n",
              "      <td>18.220554</td>\n",
              "      <td>-63.068615</td>\n",
              "      <td>Anguilla</td>\n",
              "      <td>Cluster 3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>240</th>\n",
              "      <td>YE</td>\n",
              "      <td>15.552727</td>\n",
              "      <td>48.516388</td>\n",
              "      <td>Yemen</td>\n",
              "      <td>Cluster 6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>241</th>\n",
              "      <td>YT</td>\n",
              "      <td>-12.827500</td>\n",
              "      <td>45.166244</td>\n",
              "      <td>Mayotte</td>\n",
              "      <td>Cluster 0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>242</th>\n",
              "      <td>ZA</td>\n",
              "      <td>-30.559482</td>\n",
              "      <td>22.937506</td>\n",
              "      <td>South Africa</td>\n",
              "      <td>Cluster 0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>243</th>\n",
              "      <td>ZM</td>\n",
              "      <td>-13.133897</td>\n",
              "      <td>27.849332</td>\n",
              "      <td>Zambia</td>\n",
              "      <td>Cluster 0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>244</th>\n",
              "      <td>ZW</td>\n",
              "      <td>-19.015438</td>\n",
              "      <td>29.154857</td>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>Cluster 0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>245 rows × 5 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "    country   latitude  longitude                  name    Cluster\n",
              "0        AD  42.546245   1.601554               Andorra  Cluster 4\n",
              "1        AE  23.424076  53.847818  United Arab Emirates  Cluster 6\n",
              "2        AF  33.939110  67.709953           Afghanistan  Cluster 6\n",
              "3        AG  17.060816 -61.796428   Antigua and Barbuda  Cluster 3\n",
              "4        AI  18.220554 -63.068615              Anguilla  Cluster 3\n",
              "..      ...        ...        ...                   ...        ...\n",
              "240      YE  15.552727  48.516388                 Yemen  Cluster 6\n",
              "241      YT -12.827500  45.166244               Mayotte  Cluster 0\n",
              "242      ZA -30.559482  22.937506          South Africa  Cluster 0\n",
              "243      ZM -13.133897  27.849332                Zambia  Cluster 0\n",
              "244      ZW -19.015438  29.154857              Zimbabwe  Cluster 0\n",
              "\n",
              "[245 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FskJ_hVsH6Mf",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 376
        },
        "outputId": "68da641b-315d-4047-d4f8-4c86f7171df0"
      },
      "source": [
        "# Plot Elbow Plot For Clusters\n",
        "pc.plot_model(km,plot='elbow')"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "        <script type=\"text/javascript\">\n",
              "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
              "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
              "        if (typeof require !== 'undefined') {\n",
              "        require.undef(\"plotly\");\n",
              "        requirejs.config({\n",
              "            paths: {\n",
              "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
              "            }\n",
              "        });\n",
              "        require(['plotly'], function(Plotly) {\n",
              "            window._Plotly = Plotly;\n",
              "        });\n",
              "        }\n",
              "        </script>\n",
              "        "
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          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 576x396 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sDPBYhjAIF9m",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 376
        },
        "outputId": "fc873a2c-b34a-439c-9152-ff12f2067854"
      },
      "source": [
        "# Plot Silhoutte Plot\n",
        "pc.plot_model(km,plot='silhouette')"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "        <script type=\"text/javascript\">\n",
              "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
              "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
              "        if (typeof require !== 'undefined') {\n",
              "        require.undef(\"plotly\");\n",
              "        requirejs.config({\n",
              "            paths: {\n",
              "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
              "            }\n",
              "        });\n",
              "        require(['plotly'], function(Plotly) {\n",
              "            window._Plotly = Plotly;\n",
              "        });\n",
              "        }\n",
              "        </script>\n",
              "        "
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x396 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AzN4JyPcI2cW",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 366
        },
        "outputId": "0cbda217-b070-43af-a23e-fb4878b40d70"
      },
      "source": [
        "# Plot Distance Plot\n",
        "pc.plot_model(km,plot='distance')"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "        <script type=\"text/javascript\">\n",
              "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
              "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
              "        if (typeof require !== 'undefined') {\n",
              "        require.undef(\"plotly\");\n",
              "        requirejs.config({\n",
              "            paths: {\n",
              "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
              "            }\n",
              "        });\n",
              "        require(['plotly'], function(Plotly) {\n",
              "            window._Plotly = Plotly;\n",
              "        });\n",
              "        }\n",
              "        </script>\n",
              "        "
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x396 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qdX-BOEbUr7S",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 617
        },
        "outputId": "706bf827-13c1-4491-ddf8-98e24a24ba3a"
      },
      "source": [
        "# Plot Distance Plot\n",
        "pc.plot_model(km,plot='cluster')"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "        <script type=\"text/javascript\">\n",
              "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
              "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
              "        if (typeof require !== 'undefined') {\n",
              "        require.undef(\"plotly\");\n",
              "        requirejs.config({\n",
              "            paths: {\n",
              "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
              "            }\n",
              "        });\n",
              "        require(['plotly'], function(Plotly) {\n",
              "            window._Plotly = Plotly;\n",
              "        });\n",
              "        }\n",
              "        </script>\n",
              "        "
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div>\n",
              "        \n",
              "        \n",
              "            <div id=\"d89e9163-bf67-4ffc-bd12-a0fb5a170af8\" class=\"plotly-graph-div\" style=\"height:600px; width:100%;\"></div>\n",
              "            <script type=\"text/javascript\">\n",
              "                require([\"plotly\"], function(Plotly) {\n",
              "                    window.PLOTLYENV=window.PLOTLYENV || {};\n",
              "                    \n",
              "                if (document.getElementById(\"d89e9163-bf67-4ffc-bd12-a0fb5a170af8\")) {\n",
              "                    Plotly.newPlot(\n",
              "                        'd89e9163-bf67-4ffc-bd12-a0fb5a170af8',\n",
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      "source": [
        "km_df['Cluster'].unique()"
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Cluster 4', 'Cluster 6', 'Cluster 3', 'Cluster 0', 'Cluster 1',\n",
              "       'Cluster 5', 'Cluster 2'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 47
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      ]
    },
    {
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      "metadata": {
        "id": "6yNA8xAsU6HZ",
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      "source": [
        "km_df2 = km_df"
      ],
      "execution_count": 49,
      "outputs": []
    },
    {
      "cell_type": "code",
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      "source": [
        "km_df2['Cluster'] = km_df2['Cluster'].str.replace('Cluster','').apply(int)"
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      "execution_count": 50,
      "outputs": []
    },
    {
      "cell_type": "code",
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      "source": [
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      "execution_count": 51,
      "outputs": [
        {
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              "<div>\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>country</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
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              "      <th>0</th>\n",
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              "      <td>53.847818</td>\n",
              "      <td>United Arab Emirates</td>\n",
              "      <td>6</td>\n",
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              "    <tr>\n",
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              "      <td>AF</td>\n",
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              "      <td>67.709953</td>\n",
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              "    <tr>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
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              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>240</th>\n",
              "      <td>YE</td>\n",
              "      <td>15.552727</td>\n",
              "      <td>48.516388</td>\n",
              "      <td>Yemen</td>\n",
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              "    <tr>\n",
              "      <th>241</th>\n",
              "      <td>YT</td>\n",
              "      <td>-12.827500</td>\n",
              "      <td>45.166244</td>\n",
              "      <td>Mayotte</td>\n",
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              "    <tr>\n",
              "      <th>242</th>\n",
              "      <td>ZA</td>\n",
              "      <td>-30.559482</td>\n",
              "      <td>22.937506</td>\n",
              "      <td>South Africa</td>\n",
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              "    <tr>\n",
              "      <th>243</th>\n",
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              "    <tr>\n",
              "      <th>244</th>\n",
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              "      <td>-19.015438</td>\n",
              "      <td>29.154857</td>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>245 rows × 5 columns</p>\n",
              "</div>"
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              "    country   latitude  longitude                  name  Cluster\n",
              "0        AD  42.546245   1.601554               Andorra        4\n",
              "1        AE  23.424076  53.847818  United Arab Emirates        6\n",
              "2        AF  33.939110  67.709953           Afghanistan        6\n",
              "3        AG  17.060816 -61.796428   Antigua and Barbuda        3\n",
              "4        AI  18.220554 -63.068615              Anguilla        3\n",
              "..      ...        ...        ...                   ...      ...\n",
              "240      YE  15.552727  48.516388                 Yemen        6\n",
              "241      YT -12.827500  45.166244               Mayotte        0\n",
              "242      ZA -30.559482  22.937506          South Africa        0\n",
              "243      ZM -13.133897  27.849332                Zambia        0\n",
              "244      ZW -19.015438  29.154857              Zimbabwe        0\n",
              "\n",
              "[245 rows x 5 columns]"
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      },
      "source": [
        "# Plot Scatter Plot\n",
        "# pc.plot_model(km,plot='cluster')\n",
        "plt.scatter(km_df['longitude'],km_df['latitude'],c=km_df['Cluster'],cmap='rainbow')"
      ],
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.PathCollection at 0x7f4cded15128>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 52
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x396 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rSMZYNKrMW3m",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 541
        },
        "outputId": "daf44bd0-3984-44de-ea8c-5cf405d061a7"
      },
      "source": [
        "!pip install geopandas descartes"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting geopandas\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/f7/a4/e66aafbefcbb717813bf3a355c8c4fc3ed04ea1dd7feb2920f2f4f868921/geopandas-0.8.1-py2.py3-none-any.whl (962kB)\n",
            "\r\u001b[K     |▍                               | 10kB 17.1MB/s eta 0:00:01\r\u001b[K     |▊                               | 20kB 2.2MB/s eta 0:00:01\r\u001b[K     |█                               | 30kB 2.8MB/s eta 0:00:01\r\u001b[K     |█▍                              | 40kB 3.1MB/s eta 0:00:01\r\u001b[K     |█▊                              | 51kB 2.5MB/s eta 0:00:01\r\u001b[K     |██                              | 61kB 2.8MB/s eta 0:00:01\r\u001b[K     |██▍                             | 71kB 3.0MB/s eta 0:00:01\r\u001b[K     |██▊                             | 81kB 3.3MB/s eta 0:00:01\r\u001b[K     |███                             | 92kB 3.5MB/s eta 0:00:01\r\u001b[K     |███▍                            | 102kB 3.4MB/s eta 0:00:01\r\u001b[K     |███▊                            | 112kB 3.4MB/s eta 0:00:01\r\u001b[K     |████                            | 122kB 3.4MB/s eta 0:00:01\r\u001b[K     |████▍                           | 133kB 3.4MB/s eta 0:00:01\r\u001b[K     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            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/ec/20/4e63bc5c6e62df889297b382c3ccd4a7a488b00946aaaf81a118158c6f09/Fiona-1.8.13.post1-cp36-cp36m-manylinux1_x86_64.whl (14.7MB)\n",
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            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/e5/c3/071e080230ac4b6c64f1a2e2f9161c9737a2bc7b683d2c90b024825000c0/pyproj-2.6.1.post1-cp36-cp36m-manylinux2010_x86_64.whl (10.9MB)\n",
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            "Collecting munch\n",
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            "Collecting cligj>=0.5\n",
            "  Downloading https://files.pythonhosted.org/packages/e4/be/30a58b4b0733850280d01f8bd132591b4668ed5c7046761098d665ac2174/cligj-0.5.0-py3-none-any.whl\n",
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            "Installing collected packages: munch, cligj, click-plugins, fiona, pyproj, geopandas\n",
            "Successfully installed click-plugins-1.1.1 cligj-0.5.0 fiona-1.8.13.post1 geopandas-0.8.1 munch-2.5.0 pyproj-2.6.1.post1\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VEn1IZkyMUTr",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Map our scatter plot over worldmap\n",
        "import geopandas as gpd\n",
        "# from shapely.geometry import Point,Polygon\n",
        "import descartes"
      ],
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6uVv7NJxMKiJ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 482
        },
        "outputId": "fccd4e6d-7223-43f9-c646-e56074379973"
      },
      "source": [
        "# World Map\n",
        "world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n",
        "ax = world.plot(figsize=(20,10))\n",
        "ax.axis('off')"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(-198.0, 198.00000000000006, -98.6822565, 92.32738650000002)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_9uMwBbsKxyB",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Overlap our clusters\n",
        "g01 = gpd.GeoDataFrame(km_df,geometry=gpd.points_from_xy(df['longitude'],df['latitude']))"
      ],
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Hv4X0i1cMIZA",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "outputId": "18aa80d2-3571-4305-c959-17d43f87d2ed"
      },
      "source": [
        "fig,ax = plt.subplots(figsize=(20,10))\n",
        "g01.plot(cmap='rainbow',ax=ax)\n",
        "world.geometry.boundary.plot(color=None,edgecolor='k',linewidth=2,ax=ax)"
      ],
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f4cd689ba90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qCT85wJzMIOo",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7VOjMIdJWA1E",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 77
        },
        "outputId": "9f964e3b-7b05-43c6-b168-f0e8a07869d2"
      },
      "source": [
        "km_df[km_df['name'] == 'Ghana']"
      ],
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>country</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>name</th>\n",
              "      <th>Cluster</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>GH</td>\n",
              "      <td>7.946527</td>\n",
              "      <td>-1.023194</td>\n",
              "      <td>Ghana</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   country  latitude  longitude   name  Cluster\n",
              "78      GH  7.946527  -1.023194  Ghana        4"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sAfBUvc9WuGc",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "unknown_data = pd.DataFrame([{'latitude':7.946527,'longitude':-1.023194}])"
      ],
      "execution_count": 58,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9wlZf0lCXLyg",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 77
        },
        "outputId": "c75cb7d2-a2f7-45b7-e1a3-51963b440b3f"
      },
      "source": [
        "unknown_data"
      ],
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>7.946527</td>\n",
              "      <td>-1.023194</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   latitude  longitude\n",
              "0  7.946527  -1.023194"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F8CTt6raWif5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Predict Continent\n",
        "km_pred = pc.predict_model(km,data=unknown_data)"
      ],
      "execution_count": 60,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9uFCBMOuWiSO",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 77
        },
        "outputId": "bef99ee7-5b11-4e8a-972e-522ede2218e3"
      },
      "source": [
        "km_pred"
      ],
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>Cluster</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>7.946527</td>\n",
              "      <td>-1.023194</td>\n",
              "      <td>Cluster 4</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   latitude  longitude    Cluster\n",
              "0  7.946527  -1.023194  Cluster 4"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hfm1tE2qWAqV",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D-5wc4yELWnI",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#### Thanks For Watching\n",
        "### Jesus Saves @JCharisTech\n",
        "### By Jesse E.Agbe(JCharis)"
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}